Interpretability

Adaptable Logical Control for Large Language Models NeurIPS 2024 Adapting Abstract Meaning Representation Parsing to the Clinical Narrative – the SPRING THYME parser NAACL 2024 Adaptive Axes: A Pipeline for In-domain Social Stereotype Analysis EMNLP 2024 Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism ICLR 2024 Adaptive Hierarchical Certification for Segmentation using Randomized Smoothing ICML 2024 Adding Argumentation into Human Evaluation of Long Document Abstractive Summarization: A Case Study on Legal Opinions COLING 2024 A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference COLING 2024 A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing ICML 2024 Adjusting Interpretable Dimensions in Embedding Space with Human Judgments NAACL 2024 A Dual-Prompting for Interpretable Mental Health Language Models EACL 2024 Adventures of Trustworthy Vision-Language Models: A Survey AAAI 2024 Adversarial Attacks on the Interpretation of Neuron Activation Maximization AAAI 2024 Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models NeurIPS 2024 AffilGood: Building reliable institution name disambiguation tools to improve scientific literature analysis ACL 2024 A First Step towards Measuring Interdisciplinary Engagement in Scientific Publications: A Case Study on NLP + CSS Research NAACL 2024 A Framework for Data-Driven Explainability in Mathematical Optimization AAAI 2024 A General Search-Based Framework for Generating Textual Counterfactual Explanations AAAI 2024 A General Theoretical Framework for Learning Smallest Interpretable Models AAAI 2024 AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents NeurIPS 2024 A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia ACL 2024 “A good pun is its own reword”: Can Large Language Models Understand Puns? EMNLP 2024 A Graph per Persona: Reasoning about Subjective Natural Language Descriptions ACL 2024 AGR: Reinforced Causal Agent-Guided Self-explaining Rationalization ACL 2024 A Human-Centric Evaluation Platform for Explainable Knowledge Graph Completion EACL 2024 A Hypothesis-Driven Framework for the Analysis of Self-Rationalising Models EACL 2024